We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.
Description
CiteULike: Flink: Semantic Web technology for the extraction and analysis of social networks
%0 Journal Article
%1 citeulike:463235
%A Mika, Peter
%D 2005
%J Web Semantics: Science, Services and Agents on the World Wide Web
%K flink, mika, social-network
%N 2-3
%P 211--223
%R http://dx.doi.org/10.1016/j.websem.2005.05.006
%T Flink: Semantic Web technology for the extraction and analysis of social networks
%U http://dx.doi.org/10.1016/j.websem.2005.05.006
%V 3
%X We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.
@article{citeulike:463235,
abstract = {We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.},
added-at = {2009-01-27T19:01:21.000+0100},
author = {Mika, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2a7f100d3b0a28e3e09dc7fff47697991/alourenco},
citeulike-article-id = {463235},
description = {CiteULike: Flink: Semantic Web technology for the extraction and analysis of social networks},
doi = {http://dx.doi.org/10.1016/j.websem.2005.05.006},
interhash = {c568f593a129d59f8db33ef31522a66a},
intrahash = {a7f100d3b0a28e3e09dc7fff47697991},
journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
keywords = {flink, mika, social-network},
month = {October},
number = {2-3},
pages = {211--223},
posted-at = {2007-03-05 17:36:54},
priority = {2},
timestamp = {2009-01-27T19:01:21.000+0100},
title = {Flink: Semantic Web technology for the extraction and analysis of social networks},
url = {http://dx.doi.org/10.1016/j.websem.2005.05.006},
volume = 3,
year = 2005
}